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Robust Covariance and Scatter Matrix Estimation under Huber's
  Contamination Model

Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model

1 June 2015
Mengjie Chen
Chao Gao
Zhao Ren
ArXivPDFHTML

Papers citing "Robust Covariance and Scatter Matrix Estimation under Huber's Contamination Model"

48 / 48 papers shown
Title
Metric properties of partial and robust Gromov-Wasserstein distances
Metric properties of partial and robust Gromov-Wasserstein distances
Jannatul Chhoa
Michael Ivanitskiy
Fushuai Jiang
Shiying Li
Daniel McBride
Tom Needham
Kaiying O'Hare
36
0
0
04 Nov 2024
Factor Strength Estimation in Vector and Matrix Time Series Factor
  Models
Factor Strength Estimation in Vector and Matrix Time Series Factor Models
Weilin Chen
Clifford Lam
AI4TS
48
1
0
12 May 2024
Time-Uniform Confidence Spheres for Means of Random Vectors
Time-Uniform Confidence Spheres for Means of Random Vectors
Ben Chugg
Hongjian Wang
Aaditya Ramdas
53
5
0
14 Nov 2023
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded
  Stochastic Corruption
CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
Shubhada Agrawal
Timothée Mathieu
D. Basu
Odalric-Ambrym Maillard
30
2
0
28 Sep 2023
Adversarially robust clustering with optimality guarantees
Adversarially robust clustering with optimality guarantees
Soham Jana
Kun Yang
Sanjeev R. Kulkarni
AAML
39
2
0
16 Jun 2023
On Private and Robust Bandits
On Private and Robust Bandits
Yulian Wu
Xingyu Zhou
Youming Tao
Di Wang
28
5
0
06 Feb 2023
Huber-Robust Confidence Sequences
Huber-Robust Confidence Sequences
Hongjian Wang
Aaditya Ramdas
37
13
0
23 Jan 2023
Statistically Optimal Robust Mean and Covariance Estimation for
  Anisotropic Gaussians
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians
A. Minasyan
Nikita Zhivotovskiy
44
9
0
21 Jan 2023
Mining the Factor Zoo: Estimation of Latent Factor Models with
  Sufficient Proxies
Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
Runzhe Wan
Yingying Li
Wenbin Lu
Rui Song
23
4
0
25 Dec 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Takeyuki Sasai
Hironori Fujisawa
35
4
0
24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with
  Heavy-tailed Noises and Covariates
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates
Takeyuki Sasai
28
4
0
15 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares
Robust Sparse Mean Estimation via Sum of Squares
Ilias Diakonikolas
D. Kane
Sushrut Karmalkar
Ankit Pensia
Thanasis Pittas
30
21
0
07 Jun 2022
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial
  Corruption and Heavy Tails
Covariance Estimation: Optimal Dimension-free Guarantees for Adversarial Corruption and Heavy Tails
Pedro Abdalla
Nikita Zhivotovskiy
40
25
0
17 May 2022
Indiscriminate Data Poisoning Attacks on Neural Networks
Indiscriminate Data Poisoning Attacks on Neural Networks
Yiwei Lu
Gautam Kamath
Yaoliang Yu
AAML
43
24
0
19 Apr 2022
Selective inference for k-means clustering
Selective inference for k-means clustering
Yiqun T. Chen
Daniela Witten
31
43
0
29 Mar 2022
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task Learning
Yaqi Duan
Kaizheng Wang
83
23
0
10 Feb 2022
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical
  Analysis
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
Sloan Nietert
Rachel Cummings
Ziv Goldfeld
OT
20
26
0
02 Nov 2021
Volatility prediction comparison via robust volatility proxies: An
  empirical deviation perspective
Volatility prediction comparison via robust volatility proxies: An empirical deviation perspective
Weichen Wang
Ran An
Ziwei Zhu
29
2
0
04 Oct 2021
Adversarially robust change point detection
Adversarially robust change point detection
Mengchu Li
Yi Yu
AAML
29
10
0
21 May 2021
Non-asymptotic analysis and inference for an outlyingness induced
  winsorized mean
Non-asymptotic analysis and inference for an outlyingness induced winsorized mean
Y. Zuo
27
1
0
05 May 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
J. Hayase
Weihao Kong
Raghav Somani
Sewoong Oh
AAML
29
150
0
22 Apr 2021
Robust W-GAN-Based Estimation Under Wasserstein Contamination
Robust W-GAN-Based Estimation Under Wasserstein Contamination
Zheng Liu
Po-Ling Loh
17
6
0
20 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
Aleksander Madry
Yue Liu
Tom Goldstein
SILM
37
271
0
18 Dec 2020
Universal Robust Regression via Maximum Mean Discrepancy
Universal Robust Regression via Maximum Mean Discrepancy
Pierre Alquier
Mathieu Gerber
45
15
0
01 Jun 2020
Robust estimation via generalized quasi-gradients
Robust estimation via generalized quasi-gradients
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
23
43
0
28 May 2020
Robust subgaussian estimation with VC-dimension
Robust subgaussian estimation with VC-dimension
Jules Depersin
27
12
0
24 Apr 2020
Robust estimation with Lasso when outputs are adversarially contaminated
Robust estimation with Lasso when outputs are adversarially contaminated
Takeyuki Sasai
Hironori Fujisawa
27
8
0
13 Apr 2020
All-In-One Robust Estimator of the Gaussian Mean
All-In-One Robust Estimator of the Gaussian Mean
A. Dalalyan
A. Minasyan
35
25
0
04 Feb 2020
When does the Tukey median work?
When does the Tukey median work?
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
22
18
0
21 Jan 2020
Robust Aggregation for Federated Learning
Robust Aggregation for Federated Learning
Krishna Pillutla
Sham Kakade
Zaïd Harchaoui
FedML
44
632
0
31 Dec 2019
Minimax rates in sparse, high-dimensional changepoint detection
Minimax rates in sparse, high-dimensional changepoint detection
Haoyang Liu
Chao Gao
R. Samworth
36
46
0
23 Jul 2019
Robust subgaussian estimation of a mean vector in nearly linear time
Robust subgaussian estimation of a mean vector in nearly linear time
Jules Depersin
Guillaume Lecué
21
92
0
07 Jun 2019
Outlier-robust estimation of a sparse linear model using
  $\ell_1$-penalized Huber's $M$-estimator
Outlier-robust estimation of a sparse linear model using ℓ1\ell_1ℓ1​-penalized Huber's MMM-estimator
A. Dalalyan
Philip Thompson
23
67
0
12 Apr 2019
Deconstructing Generative Adversarial Networks
Deconstructing Generative Adversarial Networks
Banghua Zhu
Jiantao Jiao
David Tse
36
49
0
27 Jan 2019
High Dimensional Robust $M$-Estimation: Arbitrary Corruption and Heavy
  Tails
High Dimensional Robust MMM-Estimation: Arbitrary Corruption and Heavy Tails
L. Liu
Tianyang Li
Constantine Caramanis
21
14
0
24 Jan 2019
Uniform bounds for robust mean estimators
Uniform bounds for robust mean estimators
Stanislav Minsker
OOD
FedML
10
35
0
09 Dec 2018
Robust Sparse Reduced Rank Regression in High Dimensions
Robust Sparse Reduced Rank Regression in High Dimensions
Kean Ming Tan
Qiang Sun
Daniela Witten
27
3
0
18 Oct 2018
Estimating minimum effect with outlier selection
Estimating minimum effect with outlier selection
Alexandra Carpentier
S. Delattre
Étienne Roquain
Nicolas Verzélen
23
9
0
21 Sep 2018
Robust classification via MOM minimization
Robust classification via MOM minimization
Guillaume Lecué
M. Lerasle
Timlothée Mathieu
16
47
0
09 Aug 2018
High Dimensional Robust Sparse Regression
High Dimensional Robust Sparse Regression
L. Liu
Yanyao Shen
Tianyang Li
Constantine Caramanis
14
71
0
29 May 2018
Robust Estimation via Robust Gradient Estimation
Robust Estimation via Robust Gradient Estimation
Adarsh Prasad
A. Suggala
Sivaraman Balakrishnan
Pradeep Ravikumar
30
220
0
19 Feb 2018
Adaptive robust estimation in sparse vector model
Adaptive robust estimation in sparse vector model
L. Comminges
O. Collier
M. Ndaoud
Alexandre B. Tsybakov
36
15
0
12 Feb 2018
Estimation of the covariance structure of heavy-tailed distributions
Estimation of the covariance structure of heavy-tailed distributions
Stanislav Minsker
Xiaohan Wei
36
38
0
01 Aug 2017
Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator
Robust Sparse Covariance Estimation by Thresholding Tyler's M-Estimator
John Goes
Gilad Lerman
B. Nadler
14
22
0
25 Jun 2017
Adaptive Huber Regression
Adaptive Huber Regression
Qiang Sun
Wen-Xin Zhou
Jianqing Fan
50
277
0
21 Jun 2017
Halfspace depths for scatter, concentration and shape matrices
Halfspace depths for scatter, concentration and shape matrices
D. Paindaveine
Germain Van Bever
36
21
0
20 Apr 2017
Robust Regression via Mutivariate Regression Depth
Robust Regression via Mutivariate Regression Depth
Chao Gao
40
48
0
15 Feb 2017
Robust Learning of Fixed-Structure Bayesian Networks
Robust Learning of Fixed-Structure Bayesian Networks
Yu Cheng
Ilias Diakonikolas
D. Kane
Alistair Stewart
OOD
48
46
0
23 Jun 2016
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